Data Management with dplyr and tidyr

• About this course

• Acknowledgements

• Introduction
• Introduction and Data Used
• Base dplyr
• Introduction to dplyr
• Select
• Filter
• Arrange
• Mutate
• Summarise
• Grouping Data
• Chaining Verbs
• Advanced dplyr
• Each
• Generic do
• Combining Data
• Databases
• Non-Standard Evaluation
• tidyr
• Tidy Data with tidyr
• lubridate
• Managing dates with lubridate

Acknowledgements

I have taken efforts in writing this manual. However, it would not have been possible without the kind support and help of many individuals. I would like to extend my sincere thanks to all of them.

I would like to thank my colleagues, Nicola Sturaro, Enrico Tonini and Veronica Giro, for their contributions and for the long hours they spent checking and reviewing my messy writing.

I would finally like to express my special gratitude to Hadley Wickham for providing and sharing his research on the R package dplyr. Without his contribution, most parts of this manual would never have been written.

Andrea Spanò,
Quantide s.r.l.